| Neural machine translation for extremely low-resource African languages: A case study on Bambara AA Tapo, B Coulibaly, S Diarra, C Homan, J Kreutzer, S Luger, ... arXiv preprint arXiv:2011.05284, 2020 | 23 | 2020 |
| Two methods for measuring question difficulty and discrimination in incomplete crowdsourced data S Luger, J Bowles Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 7 | 2013 |
| An analysis of question quality and user performance in crowdsourced exams SKK Luger, J Bowles Proceedings of the 2013 workshop on Data-driven user behavioral modelling …, 2013 | 7 | 2013 |
| Type nanotheories: a framework for term comparison J Prager, S Luger, J Chu-Carroll Proceedings of the sixteenth ACM conference on Conference on information and …, 2007 | 7 | 2007 |
| Subjective crowd disagreements for subjective data: Uncovering meaningful CrowdOpinion with population-level learning TC Weerasooriya, S Luger, S Poddar, AR KhudaBukhsh, CM Homan arXiv preprint arXiv:2307.10189, 2023 | 5 | 2023 |
| Domain-specific MT for low-resource languages: The case of Bambara-French AA Tapo, M Leventhal, S Luger, CM Homan, M Zampieri arXiv preprint arXiv:2104.00041, 2021 | 5 | 2021 |
| Assessing human translations from french to bambara for machine learning: a pilot study M Leventhal, A Tapo, S Luger, M Zampieri, CM Homan arXiv preprint arXiv:2004.00068, 2020 | 5 | 2020 |
| A graph theory approach for generating multiple choice exams SKK Luger 2011 AAAI Fall Symposium Series, 2011 | 4 | 2011 |
| Towards a crowdsourcing platform for low resource languages–a semi-supervised approach S Luger, AA Tapo, CM Homan, M Zampieri, M Leventhal Proceedings of the Eighth Conference on Human Computations. AAAI, 2020 | 3 | 2020 |
| Comparative methods and analysis for creating high-quality question sets from crowdsourced data SKK Luger, J Bowles The Twenty-Ninth International Flairs Conference, 2016 | 3 | 2016 |
| Cross-species mapping between anatomical ontologies: terminological and structural support S Luger, S Aitken, B Webber Proceedings of Bio-Ontology Workshop 30 July 2004 at International …, 2004 | 3 | 2004 |
| Automated terminological and structural analysis of human-mouse anatomical ontology mappings S Luger, S Aitken, B Webber BMC Bioinformatics 6 (3), P19, 2005 | 2 | 2005 |
| Findings from the Bambara-French Machine Translation Competition (BFMT 2023) NA Da Silva, TO Ajayi, A Antonov, PA Kamate, M Coulibaly, M Del Rio, ... Proceedings of the Sixth Workshop on Technologies for Machine Translation of …, 2023 | 1 | 2023 |
| Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages. S Luger, M Anto-Ocrah, A Tapo, C Homan, M Zampieri, M Leventhal AI4SG@ AAAI Fall Symposium, 2020 | 1 | 2020 |
| Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages SKK Luger Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 1 | 2017 |
| Algorithms for assessing the quality and difficulty of multiple choice exam questions SKK Luger The University of Edinburgh, 2016 | 1 | 2016 |
| Rater Cohesion and Quality from a Vicarious Perspective D Pandita, TC Weerasooriya, S Dutta, SK Luger, T Ranasinghe, ... arXiv preprint arXiv:2408.08411, 2024 | | 2024 |
| Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning T Cyril Weerasooriya, S Luger, S Poddar, AR KhudaBukhsh, CM Homan arXiv e-prints, arXiv: 2307.10189, 2023 | | 2023 |
| Offensiveness as an Opinion: Dissecting population-level Label Distributions TC Weerasooriya, S Luger, Y Liang, CM Homan | | 2023 |
| Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara A Auguste Tapo, B Coulibaly, S Diarra, C Homan, J Kreutzer, S Luger, ... arXiv e-prints, arXiv: 2011.05284, 2020 | | 2020 |
Christopher HomanRochester Institute of Technology在 cs.rit.edu 的电子邮件经过验证
